Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms by Bartłomiej Baran, Tomasz Rymarczyk, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Cieplak, Marcin Gąsior, Marcin Marczuk, Edmund Wąsik, Konrad Gauda

“…A reliable object detection method is introduced, requiring less information than traditional signal analysis from multiple channels. …”
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Adaptive Control and Market Integration: Optimizing Distributed Power Resources for a Sustainable Grid by Josue N. Otshwe, Bin Li, Songsong Chen, Feixiang Gong, Bing Qi, Ngouokoua J. Chabrol

“…This work presents a novel method based on a mix of renewable energy sources, energy storage technologies, and conventional generators for the optimization of DPR operations under dynamic market settings. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

“…A research proposes an optimization method for engineering project efficiency management based on multi-objective particle swarm optimization algorithm. …”
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Harnessing urban biomass for energy and water production: an NSGA-II-based optimization approach by Parviz Heydari Nasab, Ata Chitsaz, Hiva Rashidzadeh, Alireza Rostamzadeh Khosroshahi

“…The system is designed with a useful life of 25 years. Optimization results reveal that the optimal range for the (LCOE) is between 0.0566 and 0.0592 $/kWh, while the exergy efficiency ranges between 26.21 % and 28.09 %.…”
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Innovative Funding Synergy for Optimizing Land and Building Waqf Utilization in Islamic Philanthropy Programs by Galeh Pujonegoro, Kharis Nugroho, Pitri Yandri

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Online Resource Allocation and Trajectory Optimization of STAR–RIS–Assisted UAV–MEC System by Xi Hu, Hongchao Zhao, Wujie Zhang, Dongyang He

“…The system comprehensively considers user transmit power, time slot allocation, UAV flight trajectory, STAR–RIS mode selection, and phase angle matrix, achieving long–term energy consumpution minimization while ensuring stable task backlog queue. Since the proposed problem is a long–term stochastic optimization problem, we use the Lyapunov method to transform it into three deterministic online optimization subproblems and iteratively solve them alternately. …”
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Experimental investigation and optimization of one-part alkali-activated self-compacting concrete mixes by Kaku Mahendra, Mattur C. Narasimhan, Gundupalli Bhanu Prakash, Amit Kumar Das

“…To streamline experimental design and reduce the economic demands of extensive testing, the Taguchi-Grey Relational Analysis (GRA) was utilized to identify optimal multi-response parameter levels. This method considered binder content (B) within a range of 700–800 kg/m³ , water-to-binder (W/B) ratios between 0.38 and 0.42, and Na2O percentages from 5 % to 7 % as key input variables. …”
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Covert communication method based on tripartite generative adversarial network by Jihong YU, Ziyan LIN, Neng YE, Kai YANG, Jianping AN

“…A novel tripartite generative adversarial network (TripartiteGAN) and a covert communication method based on TripartiteGAN were designed for jointly optimizing the transmission covertness and the demodulation accuracy of the covert message.The performance of the method was analyzed.Specifically, TripartiteGAN was used to manipulate the amplitude and phase of an input modulated covert data so that the distribution of the generated covert signal superposing the overt signal approximates to that of the overt signal for the public user.The proposed method could work with an optimum warden that needs neither to set the detection threshold manually nor to know the transmit power characteristics of the sender.Simulation results show that under the additive white Gaussian noise channel, the proposed TripartiteGAN improved the demodulation accuracy at the covert receiver end while keeping the probability of regarding the detected signal as the covert one or the overt one at the warden around 0.5.Moreover, the proposed method outperforms the existing covert communication scheme based on generative adversarial network (GAN).…”
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Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang

“…The research provides novel insights into improving the practical effectiveness of LLMs and offers effective data processing methods for researchers in related fields. By thoroughly analyzing these strategies, this study aims to establish theoretical foundations and practical guidance for the future optimization of LLMs across a broader range of application scenarios.…”
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Wavefront-optimized treatment for myopia using Allegretto Wave Eye-Q excimer laser by Celeste P. Guzman, MD, Jessica Marie R. Abaño, MD

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Optimizing Utilization of Transport Capacities in the Cold Chain by Introducing Dynamic Allocation of Semi-Trailers by Ratko Stanković, Tomislav Pereglin, Tomislav Erdelić

“…<i>Background:</i> Road transport companies utilize transport capacities as fixed compositions of tractors and semi-trailers, while the possibility of exchanging semi-trailers is considered ad hoc, after some unforeseen circumstances emerge on the route. …”
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Hybrid MCDM-FMEA Model for Process Optimization: A Case Study in Furniture Manufacturing by Kristina Klarić, Ivana Perić, Karla Vukman, Fran Papić, Miljenko Klarić, Petra Grošelj

“…This study is focused on the development of methods for optimizing production processes in a furniture-manufacturing company through the application of an integrated risk management framework. …”
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Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce by Yi Xie, Heng-Qing Ye, Wenbin Zhu

“…In the second stage, the resource allocation problem is formulated as a large-scale integer programming model, which is then transformed into a minimum-cost flow problem to ensure computational efficiency while preserving solution optimality. Experiments on real-world data show that our framework significantly outperforms baseline strategies, achieving a 14.48% increase in order volume and revenue improvements ranging from 0.19% to 43.91%. …”
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Multi-Microgrid Optimization With Electric Vehicle Mobile Energy Storage Considering Travel Characteristics by Xiaoyi Zhang, Jie Ma, Zheng Yang, Xiang Zhang, Yishuo Qiao, Yudong Du, Zhiwei Li

“…To address the economic challenges posed by the integration of a large number of electric vehicles (EVs) into microgrids, while leveraging their mobile energy storage (MES) capabilities and accounting for the impact of EV users’ travel patterns on charging and discharging behaviors, a microgrid scheduling model is proposed that incorporates the MES characteristics of EVs under user travel habits. …”
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Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme by Mohammed Ashraf Ali, Ahmad H. Besheer, Hassan M. Emara, Ahmed Bahgat

“…Abstract The challenge of optimizing battery operating revenue while mitigating aging costs remains inadequately addressed in current literature. …”
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Advancing Multi-UAV Inspection Dispatch Based on Bilevel Optimization and GA-NSGA-II by Yujing Liu, Chunmei Chen, Yu Sun, Shaojie Miao

“…In multi-UAV collaborative power grid inspection, the system efficiency of existing methods is limited by the performance of both task assignment and path planning, which is critical in large-scale task scenarios, resulting in a huge computational cost and a high possibility to local optimality. …”
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Optimization of multioutlet hydrant location and pressurized irrigation network layout using the GRASP metaheuristic by César González-Pavón, Carmen Virginia Palau, Juan Manzano-Juárez, Santiago Guillem-Picó, Ibán Balbastre-Peralta

“…In conventional irrigation network sizing methods, only the optimization of pipe diameters is taken into account, leaving aside the rest of the factors. …”
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Research on optimization technology of new pipeline design for regional natural gas pipeline network by Jingyi CUI, Kunfeng ZHU, Cuixian GAO, Li GU, Jing REN, Yuxing LI, Wuchang WANG

“…To meet future gas demand and enhance the efficiency of pipeline design, it is essential to review and analyze existing pipeline planning and design methods, as well as optimization algorithms. There is an urgent need to develop a set of design optimization methods suitable for complex pipeline network systems with multiple gas sources, numerous users, and aging pipeline infrastructures. …”
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THE OPTIMIZATION OF ACCREDITATION DOCUMENTS FOR THE IMPLEMENTATION OF GOOD CORPORATE GOVERNANCE AT SUGIO MUHAMMADIYAH CLINIC, LAMONGAN by Nahardian Vica Rahmawati, Dias Tiara Putri Utomo, Diah Eko Martini, Fara Nur Diana, Faizatul Ummah, Muhamad Ganda Saputra

“…Method: The study encompassed three primary stages-preparation, implementation, and evaluation-spanning from July to September 2023. …”
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Optimization of Cutting Parameters to Minimize Wall Deformation in Micro-Milling of Thin-Wall Geometries by Ahmet Hasçelik, Kubilay Aslantas, Bekir Yalçın

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